Daniela Zanetti

865 total citations
27 papers, 446 citations indexed

About

Daniela Zanetti is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Daniela Zanetti has authored 27 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Surgery. Recurrent topics in Daniela Zanetti's work include Genetic Associations and Epidemiology (13 papers), Forensic and Genetic Research (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). Daniela Zanetti is often cited by papers focused on Genetic Associations and Epidemiology (13 papers), Forensic and Genetic Research (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). Daniela Zanetti collaborates with scholars based in United States, Spain and Sweden. Daniela Zanetti's co-authors include Erik Ingelsson, Stefan Gustafsson, Themistocles L. Assimes, Stephen Burgess, Eri Fukaya, Emmi Tikkanen, James R. Priest, Daniel Lindholm, Pedro Moral and Nicholas J. Leeper and has published in prestigious journals such as Circulation, PLoS ONE and Scientific Reports.

In The Last Decade

Daniela Zanetti

24 papers receiving 442 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniela Zanetti United States 9 117 106 92 89 70 27 446
Jiang‐Shan Tan China 12 120 1.0× 81 0.8× 93 1.0× 23 0.3× 39 0.6× 59 428
Hee Joon Yu South Korea 15 42 0.4× 65 0.6× 157 1.7× 54 0.6× 24 0.3× 55 612
Kornel Chełstowski Poland 11 33 0.3× 45 0.4× 69 0.8× 34 0.4× 21 0.3× 45 338
Alexandra Thompson Canada 10 29 0.2× 62 0.6× 32 0.3× 64 0.7× 12 0.2× 22 505
Annica Bergendal Sweden 13 47 0.4× 22 0.2× 87 0.9× 50 0.6× 99 1.4× 16 415
Svetlana Tchaikovski Germany 9 31 0.3× 31 0.3× 48 0.5× 51 0.6× 89 1.3× 19 404
Oddgeir L. Holmen Norway 13 121 1.0× 70 0.7× 229 2.5× 85 1.0× 4 0.1× 17 496
Alyson Kelley-Hedgepeth United States 9 47 0.4× 62 0.6× 163 1.8× 14 0.2× 10 0.1× 10 381
Feridun Karakurt Türkiye 14 20 0.2× 57 0.5× 107 1.2× 33 0.4× 12 0.2× 43 477
Paolo Fornengo Italy 13 92 0.8× 138 1.3× 91 1.0× 13 0.1× 8 0.1× 25 457

Countries citing papers authored by Daniela Zanetti

Since Specialization
Citations

This map shows the geographic impact of Daniela Zanetti's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniela Zanetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Zanetti more than expected).

Fields of papers citing papers by Daniela Zanetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Zanetti. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniela Zanetti. The network helps show where Daniela Zanetti may publish in the future.

Co-authorship network of co-authors of Daniela Zanetti

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Zanetti. A scholar is included among the top collaborators of Daniela Zanetti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela Zanetti. Daniela Zanetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kho, Pik Fang, Laurel Stell, Shirin Jimenez, et al.. (2025). Associations between accurate measures of adiposity and fitness, blood proteins, and insulin sensitivity among South Asians and Europeans. Frontiers in Endocrinology. 15. 1492778–1492778. 1 indexed citations
2.
Kho, Pik Fang, Daniela Zanetti, Fahim Abbasi, et al.. (2025). Cross-sectional, interventional, and causal investigation of insulin sensitivity using plasma proteomics in diverse populations. Metabolism. 169. 156263–156263.
3.
Busonero, Fabio, Stefania Lenarduzzi, Francesca Crobu, et al.. (2024). The Women4Health cohort: a unique cohort to study women-specific mechanisms of cardio-metabolic regulation. European Heart Journal Open. 4(2). oeae012–oeae012. 3 indexed citations
4.
Zanetti, Daniela, et al.. (2021). Alcohol use and cardiometabolic risk in the UK Biobank: A Mendelian randomization study. PLoS ONE. 16(8). e0255801–e0255801. 31 indexed citations
5.
Zanetti, Daniela, et al.. (2020). Urinary Albumin, Sodium, and Potassium and Cardiovascular Outcomes in the UK Biobank. Hypertension. 75(3). 714–722. 32 indexed citations
6.
Zanetti, Daniela, Christina Vohlen, Marion Müller, et al.. (2020). Mendelian randomization and experimental IUGR reveal the adverse effect of low birth weight on lung structure and function. Scientific Reports. 10(1). 22395–22395. 5 indexed citations
7.
Lind, Lars, et al.. (2020). Commonly used clinical chemistry tests as mortality predictors: Results from two large cohort studies. PLoS ONE. 15(11). e0241558–e0241558. 6 indexed citations
8.
Harati, Hadi, Daniela Zanetti, Abhiram Rao, et al.. (2019). No evidence of a causal association of type 2 diabetes and glucose metabolism with atrial fibrillation. Diabetologia. 62(5). 800–804. 23 indexed citations
9.
Zanetti, Daniela, Abhiram Rao, Stefan Gustafsson, et al.. (2019). Identification of 22 novel loci associated with urinary biomarkers of albumin, sodium, and potassium excretion. Kidney International. 95(5). 1197–1208. 28 indexed citations
10.
Zanetti, Daniela & Michael E. Weale. (2018). Transethnic differences in GWAS signals: A simulation study. Annals of Human Genetics. 82(5). 280–286. 16 indexed citations
11.
Fukaya, Eri, Alyssa M. Flores, Daniel Lindholm, et al.. (2018). Clinical and Genetic Determinants of Varicose Veins. Circulation. 138(25). 2869–2880. 101 indexed citations
12.
Parolín, María Laura, Daniela Zanetti, C.M. Calò, et al.. (2017). Migrations, admixture and genetic diversity in Central Argentinian Patagonia: analysis of autosomal Alu polymorphisms. Americanae (AECID Library). 28(2). 29–42. 5 indexed citations
13.
Zanetti, Daniela, et al.. (2017). A survey of sub-Saharan gene flow into the Mediterranean at risk loci for coronary artery disease. European Journal of Human Genetics. 25(4). 472–476. 42 indexed citations
15.
Carreras‐Torres, Robert, et al.. (2016). Population variation of LIN28B in the Mediterranean: Novel markers for microgeographic discrimination. American Journal of Human Biology. 28(6). 905–912.
16.
Zanetti, Daniela, Robert Carreras‐Torres, Esther Esteban, Marc Vía, & Pedro Moral. (2015). Potential Signals of Natural Selection in the Top Risk Loci for Coronary Artery Disease: 9p21 and 10q11. PLoS ONE. 10(8). e0134840–e0134840. 6 indexed citations
17.
Zanetti, Daniela, May F. Sadiq, Robert Carreras‐Torres, et al.. (2014). Human Diversity in Jordan: PolymorphicAluInsertions in General Jordanian and Bedouin Groups. Human Biology. 86(2). 131–138. 8 indexed citations
18.
Zanetti, Daniela, May F. Sadiq, Robert Carreras‐Torres, et al.. (2014). Human Diversity in Jordan: Polymorphic Alu Insertions in General Jordanian and Bedouin Groups. Human Biology. 86(2). 131–138. 2 indexed citations
19.
Carreras‐Torres, Robert, Suman Kundu, Daniela Zanetti, et al.. (2014). Genetic Risk Score of NOS Gene Variants Associated with Myocardial Infarction Correlates with Coronary Incidence across Europe. PLoS ONE. 9(5). e96504–e96504. 8 indexed citations
20.
Zanetti, Daniela, May F. Sadiq, Robert Carreras‐Torres, et al.. (2014). Human Diversity in Jordan: Polymorphic <em>Alu</em> Insertions in General Jordanian and Bedouin Groups. Human Biology. 86(2). 131–131. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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